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Zero-Trust Network Access (ZTNA) marks a significant shift in network security by adopting a "never trust, always verify" approach. This work provides an in-depth analysis of ZTNA, offering a comprehensive framework for understanding its…

Cryptography and Security · Computer Science 2024-10-29 Vasilios Mavroudis

Formal verification provides strong guarantees of correctness of software, which are especially important in safety or security critical systems. Hoare logic is a widely used formalism for rigorous verification of software against…

Programming Languages · Computer Science 2021-03-11 Jayaraj Poroor

We show that the computational problem CONSENSUS-HALVING is PPA-complete, the first PPA-completeness result for a problem whose definition does not involve an explicit circuit. We also show that an approximate version of this problem is…

Computational Complexity · Computer Science 2017-11-15 Aris Filos-Ratsikas , Paul W. Goldberg

Zero-sum games are natural, if informal, analogues of closed physical systems where no energy/utility can enter or exit. This analogy can be extended even further if we consider zero-sum network (polymatrix) games where multiple agents…

Computer Science and Game Theory · Computer Science 2019-03-06 James P. Bailey , Georgios Piliouras

Physics-informed extreme learning machines (PIELMs) typically impose boundary and initial conditions through penalty terms, yielding only approximate satisfaction that is sensitive to user-specified weights and can propagate errors into the…

Numerical Analysis · Mathematics 2026-01-21 Rishi Mishra , Smriti , Balaji Srinivasan , Sundararajan Natarajan , Ganapathy Krishnamurthi

We propose applications of Radioactive Ion Beam facilities to investigate physics beyond the Standard Model. In particular, we focus on the possible measurement of coherent neutrino-nucleus scattering and on a search for sterile neutrinos,…

High Energy Physics - Phenomenology · Physics 2015-06-04 Catalina Espinoza , Rimantas Lazauskas , Cristina Volpe

This paper addresses the task of zero-shot image classification. The key contribution of the proposed approach is to control the semantic embedding of images -- one of the main ingredients of zero-shot learning -- by formulating it as a…

Computer Vision and Pattern Recognition · Computer Science 2016-07-28 Maxime Bucher , Stéphane Herbin , Frédéric Jurie

This paper introduces a new solution concept for non-cooperative games in normal form with no ties and pure strategies: the Perfectly Transparent Equilibrium. The players are rational in all possible worlds and know each other's strategies…

Computer Science and Game Theory · Computer Science 2020-03-19 Ghislain Fourny

We study in depth the class of games with opacity condition, which are two-player games with imperfect information in which one of the players only has imperfect information, and where the winning condition relies on the information he has…

Computer Science and Game Theory · Computer Science 2011-06-08 Bastien Maubert , Sophie Pinchinat , Laura Bozzelli

We investigate a recently-devised polyhedral semantics for intermediate logics, in which formulas are interpreted in n-dimensional polyhedra. An intermediate logic is polyhedrally complete if it is complete with respect to some class of…

Logic · Mathematics 2022-10-26 Sam Adam-Day , Nick Bezhanishvili , David Gabelaia , Vincenzo Marra

Semantic Image Interpretation is the task of extracting a structured semantic description from images. This requires the detection of visual relationships: triples (subject,relation,object) describing a semantic relation between a subject…

Machine Learning · Computer Science 2019-10-02 Ivan Donadello , Luciano Serafini

As Artificial Intelligence (AI) systems, particularly those based on machine learning (ML), become integral to high-stakes applications, their probabilistic and opaque nature poses significant challenges to traditional verification and…

Software Engineering · Computer Science 2025-05-27 Filippo Scaramuzza , Giovanni Quattrocchi , Damian A. Tamburri

Neuro-symbolic hybrid systems are promising for integrating machine learning and symbolic reasoning, where perception models are facilitated with information inferred from a symbolic knowledge base through logical reasoning. Despite…

Artificial Intelligence · Computer Science 2024-01-24 Lue Tao , Yu-Xuan Huang , Wang-Zhou Dai , Yuan Jiang

This paper presents stronger methods of achieving perfect completeness in quantum interactive proofs. First, it is proved that any problem in QMA has a two-message quantum interactive proof system of perfect completeness with constant…

Quantum Physics · Physics 2016-05-25 Hirotada Kobayashi , François Le Gall , Harumichi Nishimura

Previously, gradual verification has been developed using overapproximating logics such as Hoare logic. We show that the static verification component of gradual verification is also connected to underapproximating logics like incorrectness…

Logic in Computer Science · Computer Science 2024-12-03 Conrad Zimmerman , Jenna DiVincenzo

How does one represent an action? How does one describe an action that we have never seen before? Such questions are addressed by the Zero Shot Learning paradigm, where a model is trained on only a subset of classes and is evaluated on its…

Computer Vision and Pattern Recognition · Computer Science 2019-11-27 Bhavan Jasani , Afshaan Mazagonwalla

This paper explores how zero-knowledge proofs can enhance Bitcoin's functionality and privacy. First, we consider Proof-of-Reserve schemes: by using zk-STARKs, a custodian can prove its Bitcoin holdings are more than a predefined threshold…

Cryptography and Security · Computer Science 2025-07-30 Yusuf Ozmiş

Negation as failure and incomplete information in logic programs have been studied by many researchers In order to explains HOW a negated conclusion was reached, we introduce and proof a different way for negating facts to overcoming…

Artificial Intelligence · Computer Science 2013-03-06 M. A. El-Dosuky , T. T. Hamza , M. Z. Rashad , A. H. Naguib

Recent developments in pre-trained neural language modeling have led to leaps in accuracy on commonsense question-answering benchmarks. However, there is increasing concern that models overfit to specific tasks, without learning to utilize…

Computation and Language · Computer Science 2020-12-16 Kaixin Ma , Filip Ilievski , Jonathan Francis , Yonatan Bisk , Eric Nyberg , Alessandro Oltramari

A terrain is an x-monotone polygonal curve, i.e., successive vertices have increasing x-coordinates. Terrain Guarding can be seen as a special case of the famous art gallery problem where one has to place at most $k$ guards on a terrain…

Computational Geometry · Computer Science 2018-07-03 Édouard Bonnet , Panos Giannopoulos
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